genderage_convnext / config.json
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{
"_name_or_path": "facebook/convnext-base-224",
"architectures": [
"ConvNextForImageClassification"
],
"depths": [
3,
3,
27,
3
],
"drop_path_rate": 0.0,
"hidden_act": "gelu",
"hidden_sizes": [
128,
256,
512,
1024
],
"id2label": {
"0": "Female",
"1": "Male",
"2": "Age0to5",
"3": "Age6to10",
"4": "Age11to15",
"5": "Age16to25",
"6": "Age26to35",
"7": "Age36to49",
"8": "Age50to69",
"9": "Age70to99"
},
"image_size": 224,
"initializer_range": 0.02,
"label2id": {
"Age0to5": "2",
"Age11to15": "4",
"Age16to25": "5",
"Age26to35": "6",
"Age36to49": "7",
"Age50to69": "8",
"Age6to10": "3",
"Age70to99": "9",
"Female": "0",
"Male": "1"
},
"layer_norm_eps": 1e-12,
"layer_scale_init_value": 1e-06,
"model_type": "convnext",
"num_channels": 3,
"num_stages": 4,
"patch_size": 4,
"problem_type": "multi_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.25.1"
}